Cosmos DB

Official Documentation

Service Description

Azure Cosmos DB is Microsoft's globally distributed, multi-model database. With the click of a button, Azure Cosmos DB enables you to elastically and independently scale throughput and storage across any number of Azure's geographic regions. It offers throughput, latency, availability, and consistency guarantees with comprehensive service level agreements (SLAs), something no other database service can offer.

Getting Started

  1. Introducing Azure Cosmos DB
    5/10/2017, Video, 0:01:56
  2. Foundations of Azure Cosmos DB with Dr. Leslie Lamport, long
    5/10/2017, Video, 0:04:32
  3. Azure207x - Databases in Azure
    5/31/2017, Mva
  4. How to build globally-distributed, fast, billion-user applications with Azure Cosmos DB
    5/8/2017, Video, 0:49:47

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Azure Documentation

1. Cosmos DB Documentation
2. Overview
     2.1. About Azure Cosmos DB
     2.2. Welcome DocumentDB customers
3. Quickstarts
     3.1. DocumentDB
          3.1.1. .NET
          3.1.2. Java
          3.1.3. Node.js
          3.1.4. Python
          3.1.5. Xamarin
     3.2. MongoDB
          3.2.1. Node.js
          3.2.2. .NET
          3.2.3. Java
          3.2.4. Golang
     3.3. Graph
          3.3.1. .NET
          3.3.2. Gremlin console
          3.3.3. Java
          3.3.4. Node.js
     3.4. Table
          3.4.1. .NET
4. Tutorials
     4.1. 1 - Create
          4.1.1. DocumentDB
          4.1.2. MongoDB
          4.1.3. Table
          4.1.4. Graph
     4.2. 2 - Import
          4.2.1. DocumentDB
          4.2.2. MongoDB
     4.3. 3 - Query
          4.3.1. DocumentDB
          4.3.2. MongoDB
          4.3.3. Table
          4.3.4. Graph
     4.4. 4 - Distribute globally
          4.4.1. DocumentDB
          4.4.2. MongoDB
          4.4.3. Table
          4.4.4. Graph
     4.5. 5 - Develop locally
          4.5.1. Use the emulator
          4.5.2. Export certificates
5. Samples
     5.1. Azure CLI 2.0
     5.2. Azure PowerShell
6. Concepts
     6.1. Global distribution
     6.2. Partitioning
     6.3. Consistency
     6.4. Throughput
     6.5. Multi-model APIs
          6.5.1. DocumentDB
          6.5.2. MongoDB
          6.5.3. Table
          6.5.4. Graph
     6.6. Security
     6.7. TCO
     6.8. Use cases
          6.8.1. Social media apps
7. How To Guides
     7.1. Develop
          7.1.1. DocumentDB API
               7.1.1.1. Resources
               7.1.1.2. SQL queries
               7.1.1.3. SQL query performance
               7.1.1.4. SQL playground
               7.1.1.5. Partitioning
               7.1.1.6. Stored procedures, triggers, and UDFs
               7.1.1.7. Performance testing
               7.1.1.8. Performance tips
               7.1.1.9. Multi-master setup
               7.1.1.10. DateTimes
               7.1.1.11. Modeling document data
               7.1.1.12. Tutorials
                    7.1.1.12.1. Write your first app
                         7.1.1.12.1.1. .NET
                         7.1.1.12.1.2. .NET Core
                         7.1.1.12.1.3. Java
                         7.1.1.12.1.4. Node.js
                         7.1.1.12.1.5. C++
                    7.1.1.12.2. Build a web app
                         7.1.1.12.2.1. .NET
                         7.1.1.12.2.2. Xamarin
                         7.1.1.12.2.3. Node.js
                         7.1.1.12.2.4. Java
                         7.1.1.12.2.5. Python Flask
               7.1.1.13. Samples
                    7.1.1.13.1. .NET samples
                    7.1.1.13.2. Node.js samples
                    7.1.1.13.3. Python samples
               7.1.1.14. Resources
                    7.1.1.14.1. SQL grammar cheat sheet
                    7.1.1.14.2. Stack Overflow
                    7.1.1.14.3. Videos
                    7.1.1.14.4. Service updates
                    7.1.1.14.5. Community portal
                    7.1.1.14.6. Schema agnostic indexing paper
                    7.1.1.14.7. Retire S1, S2, S3
          7.1.2. MongoDB API
               7.1.2.1. Connect to your MongoDB account
               7.1.2.2. Using MongoChef
               7.1.2.3. Using Robomongo
               7.1.2.4. Tutorials
                    7.1.2.4.1. Node.js console app
          7.1.3. Graph API
               7.1.3.1. Gremlin support
          7.1.4. Table API
               7.1.4.1. Table storage
          7.1.5. Change feed
          7.1.6. Geospatial
          7.1.7. Indexing
     7.2. Manage
          7.2.1. Cost-effective reads and writes
          7.2.2. Expire data automatically
          7.2.3. Back up and restore
          7.2.4. Regional failover
          7.2.5. Set throughput
          7.2.6. Monitor SLAs
          7.2.7. Manage keys and consistency
          7.2.8. Security
               7.2.8.1. Encryption at rest
               7.2.8.2. Firewall support
               7.2.8.3. Securing access to data
     7.3. Integrate
          7.3.1. Connect to Spark
          7.3.2. Connect to Spark GraphX
          7.3.3. Deploy a website with Azure App Service
          7.3.4. Application logging with Logic Apps
          7.3.5. Bind to Azure Functions
          7.3.6. Analyze data with Hadoop
          7.3.7. Integrate with Azure Search
          7.3.8. Move data with Azure Data Factory
          7.3.9. Analyze real-time data with Azure Stream Analytics
          7.3.10. Get changed HL7 FHIR record using Logic Apps
          7.3.11. Process sensor data in real time
          7.3.12. Visualize your data with Power BI
          7.3.13. Leverage the ODBC driver for data visualization
          7.3.14. Use Spring Boot Starter with DocumentDB APIs
8. Reference
     8.1. Code samples
     8.2. DocumentDB APIs
          8.2.1. Java
          8.2.2. .NET
          8.2.3. .NET Change feed
          8.2.4. .NET Core
          8.2.5. Node.js
          8.2.6. Python
          8.2.7. REST
          8.2.8. REST Resource Provider
          8.2.9. SQL
     8.3. Table APIs
          8.3.1. .NET
     8.4. Graph APIs
          8.4.1. .NET
9. Resources
     9.1. Azure Roadmap
     9.2. Pricing
     9.3. FAQ
     9.4. Stack Overflow
     9.5. Data consistency explained through baseball

Web Content

Content Type

Online Training Content

Date Title
6/19/2017 edX-Dev225x - Developing IoT Solutions with Azure IoT
5/31/2017 Azure207x - Databases in Azure
5/24/2017 Developing NoSQL Solutions in Azure

Tools

Tool Description

Videos

Date Title Length
8/10/2017 Table API for Azure Cosmos DB 0:12:18
8/10/2017 Graphs with Azure Cosmos DB Gremlin API 0:11:28
6/28/2017 Azure DocumentDB: a Deep Dive in to Advanced Features 1:12:09
6/22/2017 Introducing Azure Cosmos DB 0:14:56
6/6/2017 Deploying a MEAN App to Azure 0:08:48
5/25/2017 DocumentDB Stored Procedures Best Practices 0:14:43
5/25/2017 Cloud Tech 10 - 22nd May 2017 - AzCopy for Linux, Understanding Cosmos DB Request Units and more. 0:05:39
5/23/2017 CosmosDB 0:24:44
5/11/2017 Build 2017 – Zusammenfassung der Keynote an Tag 1 0:22:44
5/10/2017 Demystifying Cloud Data Services for an App Developer 0:33:50

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StackOverflow

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